Triple
T20490533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German submarine U-75 |
E502729
|
entity |
| Predicate | survivorsNumber |
P63871
|
FINISHED |
| Object | ~30 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ~30 | Statement: [German submarine U-75, survivorsNumber, ~30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivorsNumber Context triple: [German submarine U-75, survivorsNumber, ~30]
-
A.
survivorCount
chosen
Indicates the number of entities that remain alive or intact after a specified event, process, or condition.
-
B.
numberOfChildrenSurvivors
Indicates the count of children who survived a particular event, condition, or situation.
-
C.
survivorsBuilt
Indicates that the entities identified as survivors constructed, created, or established the associated object or structure.
-
D.
survivorsPerMatch
Indicates the number of surviving participants remaining at the end of each match.
-
E.
estimatedNumberOfSurvivorsAtLiberation
Indicates the approximate count of individuals who were still alive at the time a camp or similar site was liberated.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.